Unlock the potential of GIGA POD
The first GIGA POD model features the formidable GIGABYTE G593 series server, laying the foundation for an unparalleled AI computing experience. The powerful server that GIGABYTE created enables the GIGA POD's exceptional performance and efficiency for AI applications.
Unprecedented scalability
GIGA POD extends beyond individual servers, offering the approach of scale-out computing that integrates multiple racks. This rack-scale-level product is integrated with the NVIDIA HGX platform or an OCP Accelerator Module (OAM) to redefine the boundaries of what is possible. The result is a comprehensive infrastructure that empowers you to tackle the most ambitious AI-enabled services with ease.
Consulting, design and construction
GIGA POD is more than just a product. It is a partnership. Our professional team works with you to understand your AI computing needs. From initial consultation through the design phase to building a powerful, scaled infrastructure, GIGABYTE supports you every step of the way. We are committed to helping our customers unlock the full potential of artificial intelligence without compromise.
Why choose GIGA POD?
- Superior performance: GIGA POD harnesses the computing power of the most innovative and powerful AI servers for scale-out deployments, delivering the best performance for AI workloads.
- Seamless scalability: Giga POD scales easily with GIGABYTE's validation and integration. Say goodbye to performance bottlenecks caused by improper network connections when you invest in a powerful system. Ensure your computing infrastructure keeps pace with your AI goals.
- Comprehensive services: In addition to hardware, GIGABYTE also provides a wide range of services, such as consulting, design, and construction, making GIGA POD a comprehensive solution tailored to meet your AI computing needs.
“In 2021, Taiga Cloud started building its first Gen AI cluster, together with GIGABYTE, based on NVIDIA A100 GPUs. In Q4 2023, Taiga Cloud and GIGABYTE were the first in Europe to set up a shared design of NVIDIA H100 GPU super pods. The tremendous effort from both teams has propelled Taiga Cloud to new heights in its ability to offer our customers access to flexible, secure, and compliant clean-energy compute power to serve Gen AI innovation across Europe.” Christof Stührmann, Director, Cloud Engineering, Taiga.
“GIGABYTE is pleased to assist Taiga Cloud in meeting the strong demand from businesses for AI-driven solutions by offering access to Europe's largest clean, energy-powered, expandable AI and ML processing capabilities. We anticipate fully harnessing the potential of our collaboration as we further our strategic partnership. GIGABYTE is facilitating an expedited chip supply chain in Europe by providing the highly desired NVIDIA H100 GPUs to Taiga Cloud. Customers have the option to pre-register their interest in the H100, with access being available prior to the conclusion of 2023. This cooperation represents the culmination of almost two years of work between the two organizations. It originated with GIGABYTE supplying Taiga Cloud NVIDIA A100 GPUs, which were hosted at Northern Data Group's innovative data center in Boden, Sweden.” Matthew Miller, Senior Sales Manager, GIGABYTE EMEA
Modularized AI & HPC Systems
GIGABYTE has been deploying GIGA PODs in leading cloud service providers and has the know-how to assist data centers with scaled infrastructure. These turnkey solutions (or pods) are composed of eight racks with 32 GIGABYTE G593 nodes for a total of 256 NVIDIA H100 Tensor Core GPUs that can achieve 1 exaflop (one quintillion floating point operations per second) of FP8 AI performance. GIGABYTE used this G593-SD0 server built for Intel Xeon and NVIDIA H100 GPUs, for its most recent submission in MLPerf benchmarks to test AI workloads.
Embark on a transformative AI journey with GIGA POD, where innovation and scalability come together to turn your ambitions into reality. GIGABYTE proudly presents the infinite future of artificial intelligence computing. For sales inquiries click here.
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